{"id":3343236,"url":"https://alion.io/job/nvidia-solutions-architect-ai-factory-infrastructure-2","title":"Solutions Architect, AI Factory Infrastructure","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":765,"ghost_share":0.022,"stale_share":0.583,"repost_share":0.039,"time_to_fill_p50_days":40,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":124000,"max":195500,"currency":"USD","period":"year","gross":null,"usd_annual":195500},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-27T16:18:35Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-01T22:52:49Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Are you passionate about enabling the next generation of AI development? We are looking for an early-in-career Solution Architect to join the growing NVIDIA AI Infrastructure team. NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. We're in search of creative minds like you to help customers design, architect and implement accelerated computing data center solutions that will power workflows including AI inference at scale and physical AI through digital simulation.\nNVIDIA solutions are built around industry leading AI software tools, but these tools are only as good as the infrastructure that enable the workloads. On this team, you will do full stack design including hardware architecture, workload orchestration and application performance tuning. At NVIDIA, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.\nWhat you'll be doing:\nHelp customers with their AI factory journey, including workflow pipelines and performance optimization\n\nFocus data center implementations for inference use cases, including distributed, disaggregated and scaled out workflows\n\nScope physical AI journeys on Omniverse, including synthetic data generation, data aggregation, application development and simulation pipelines\n\nLead technical sales activities for AI factories with focus on hybrid deployments between cloud and on-prem\n\nDeliver hybrid cloud architectures for data pipelines, storage, security and user streaming connectivity\n\nProviding expertise in infrastructure workflows, including hardware, task coordination and application tuning\n\nUnderstand different solutions trade-offs and propose enterprise customers the best architecture and technical execution\n\nWork directly with key customers to understand workflows and share feedback with internal product and engineering teams\n\nWhat we need to see:\nBachelor's degree or equivalent experience in Engineering or Computer Science\n\n3+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise\n\nAn outstanding passion for groundbreaking IT infrastructures that optimize AI workloads\n\nKnowledge of infrastructure management including Linux, Kubernetes, Ethernet networking, cloud native tooling\n\nFamiliarity with Linux system environments including using Linux for systems administration\n\nComfortable with Python programming\n\nUnderstanding how software and hardware work together to optimize applications\n\nAbility to work independently with a remote team with minimal direction\n\nOutstanding communication skills, strong interpersonal and be an excellent teammate!\n\nWays to stand out from the crowd:\nExperience with on-prem infrastructure architecture and big cloud deployments\n\nExperience with cloud native tooling including Terraform, Kubernetes, Helm\n\nBackground in building large scale infrastructure that deliver workloads via containers\n\nExperience developing and deploying solutions in hybrid and/or cloud environments\n\nCritical thinking capabilities that leverage fundamentals to deduce solutions to unforseen problems\n\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 31, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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